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Neural Computing and Applications

Erschienen in:

05.08.2020 | Original Article

Mobile neural intelligent information system based on edge computing with interactive data

verfasst von: Yucheng Zhang, Yang Li, Haoxiang Wang

Erschienen in: Neural Computing and Applications | Ausgabe 9/2021

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Abstract

With the increasing popularity of smart mobile terminals, smartphones, tablet computers and other mobile devices will gradually replace personal computers and become the most important computing platform for consumers. Mobile edge computing (MEC), as a key technology for the evolution of communication network architecture, can meet the requirements of the system for throughput, delay, network scalability and intelligence. Based on the MEC, the content and services provided by information system are closer to users to increase mobile network speed, reduce latency and improve connection reliability. In this paper, we propose an interactive data information system based on mobile edge detection, which is divided into client and server. The server mainly provides services such as content and user login and rights management for the client. The client needs to log into the server to run normally. Among them, the interactive data server is a favorable support and guarantee for the client. The experimental results show that the proposed method has higher efficiency and fault tolerance.

Vorheriger Artikel New finite-time synchronization of memristive Cohen–Grossberg neural network with reaction–diffusion term based on time-varying delay

Nächster Artikel Find optimal capacity and location of distributed generation units in radial distribution networks by using enhanced coyote optimization algorithm

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Titel: Mobile neural intelligent information system based on edge computing with interactive data
verfasst von: Yucheng Zhang
Yang Li
Haoxiang Wang
Publikationsdatum: 05.08.2020
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 9/2021
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-020-05269-9

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